MATLAB Graphics and Data Visualization Cookbook

More Information
Learn
  • Jump start your first MATLAB plot
  • Strengthen your knowledge of standard graph types and learn new advanced types
  • Common visualization mistakes that people make and how to avoid them
  • Easily adapt recipes from the book to best display your data - one, two, three dimensions, and beyond
  • Say more with legends, annotations, labels, different layouts, and color
  • Design superior data displays with custom lighting, transparency, and camera positioning
  • Do animations and interactive graphics with MATLAB
  • Fix the resolution and format before employing the Publish command
About

MATLAB's customizable graphics elements allow you to tailor your visualizations for exactly what you need to present; alter the figure and axis properties, lighting, transparency and camera position. Use MATLAB to apply volume visualizations to your data as well as interactivity and animation, or to plot your data in 1, 2, 3 and higher data dimensions.

"MATLAB Graphics & Data Visualization Cookbook" will serve as your handbook to help you know the right graphic to showcase your data and teach you how to create it in clear step-by-step instructions.

Tasks range from simple graphs using built-in MATLAB commands, to complex functions making frequently used customizations easy to implement.

Learn about the key customizable elements in MATLAB graphics starting from figure and axis property settings, color, lighting, transparency and camera positioning to strategies for more advanced data visualization including adding interactivity and animation. Finish with recipes on presentation and publication.

Learn the techniques and easily customize the recipes to apply to your datasets.

Features
  • Collection of data visualization recipes with functionalized versions of common tasks for easy integration into your data analysis workflow
  • Recipes cross-referenced with MATLAB product pages and MATLAB Central File Exchange resources for improved coverage
  • Includes hand created indices to find exactly what you need; such as application driven, or functionality driven solutions
Page Count 284
Course Length 8 hours 31 minutes
ISBN 9781849693165
Date Of Publication 23 Nov 2012

Authors

Nivedita Majumdar

Nivedita Majumdar is a software development engineer with extensive experience with MATLAB. She has a PhD in Computational Sciences and Informatics. She has been developing data analysis tools and algorithms for the communications and life sciences industries for the past decade. She is deeply interested in visualization as a tool for insightful data exploration. She is an enthusiastic proponent of MATLAB as the preferred environment for data visualization and algorithm prototyping.

Swapnonil Banerjee

Swapnonil Banerjee is a theoretical physicist with a PhD in Physics and a BE in Electronics and Telecommunications Engineering. He has extensive MATLAB development experience in the areas of signal processing, numerical data modelling, curve fitting, differential calculus and Monte Carlo simulations.